A novel calibration transfer method of NIR spectra to identify ultralow concentration of pesticide residues

摘要

Conventional chemical methods to detect pesticide residue are complex, and need professional instruments as well asmuch time. NIR spectral analysis provides an effective way for pesticide residue detection because of simple operation,rapid analysis and non-destruction of samples. However, conventional calibration models are only effective after spectrawere measured, and different models are needed for different instruments. In this study, we propose a novel calibrationtransfer method by using sequential forward selection to transfer calibration models between different crops andinstruments. The calibration model built by master instrument can identify three kinds of pesticide includingChlorothalonil, Chlorpyrifos and Buprofezin. Spectra obtained by slave instrument can also be predicted by the modelswith the method. The experiment results show that the prediction accuracies increased from 50% up to 80% by using ourmethod.